基于声源定位的高校在线巡课系统设计与研究

随着网络建设以及信息化教学方法在高校教学过程中的应用普及,越来越多的高校使用在线巡课系统对教师的教学过程进行跟踪和管理,以便发现课堂教学中的亮点、问题和不足。文章提出的在线巡课系统,基于声源定位的技术,对传统的在线巡课系统做出了改进,解决了已有巡课系统中“只闻其声,不见其人”的问题,能够更直观地跟踪到教师的教学过程,包括教学行为以及师生互动过程,有效提升教务人员巡课效果和体验感受。     

驱动压电陶瓷的高压放大器

概述了高压放大器的基本组成，以及采用高压稳压电源措施，提高高压放大器的性能，并简述了高压放大器输出级的工作原理，给出了过渡保护方法。     

用步进电机实现连续变焦距光学镜头的变焦控制

根据望远镜的工作原理，对变焦距光学镜头的变焦运动进行了定性分析，并且根据理想光学系统的物像关系式推导出该镜头运动镜组的运动方程。该连续变焦控制的实验装置包括步进电机，电机驱动器以及控制平台，其控制程序用VisualC 编写。实验表明，该方法能方便地实现连续变焦距光学镜头的变焦控制。     

变焦距镜头变倍组和补偿组移动导轨的设计

本文通过典型变焦距镜头的实例和图形,详细介绍了机械补偿变焦距镜头几种常用的变倍组和补偿组在变焦过程中往复运动导轨的结构形式,及其各种结构形式的优缺点。并论述了设计各种形式导轨机构应注意的问题。     

刀倾全展成准双曲面齿轮的切齿设计

为提高准双曲面齿轮的啮合性能,对刀倾全展成(HGT)准双曲面齿轮进行切齿设计研究.以局部综合法(Local Synthesis)为基础,并依据格里森准双曲面齿轮的加工原理,得到满足一定啮合性能的加工参数,并采用该参数对齿轮副进行轮齿接触分析(TCA).从齿面印痕和传动误差曲线可以看出,齿轮副重合度大,传动平稳,可通过调整局部控制参数来改变齿轮的啮合性能,验证了切齿设计的正确性.该方法可通过对设计参考点及其领域内的啮合条件进行预控,达到对齿面啮合质量的控制.     

基于LabVIEW的吸声系数测试系统设计

介绍了基于图形化语言LabVIEW开发环境,采用双传声器法测量各种材料吸声系数的方法;利用频谱细化技术对算法进行了优化,实现了对吸声系数快速、连续、稳定的测量,并可以方便地保存项目参数及对测试结果进行分析、拼接、保存、复现及报表;在相同的实验条件下,采用多种实验材料与B&K PULSE系统进行对比测试,并对海绵的测试结果进行了具体分析;结果表明,采用本系统所测得曲线与PULSE测试结果吻合度很高,证明该系统测试精确度高,性能稳定可靠,操作简单,达到了设计要求,有助于各种吸声材料的研发。     

Fuzzy ARTMAP classification of invariant features derived using angle of rotation from a neural network

Conventional regular moment functions have been proposed as pattern sensitive features in image classification and recognition applications. But conventional regular moments are only invariant to translation, rotation and equal scaling. It is shown that the conventional regular moment invariants remain no longer invariant when the image is scaled unequally in the x- and y-axis directions. We address this problem by presenting a technique to make the regular moment functions invariant to unequal scaling. However, the technique produces a set of features that are only invariant to translation, unequal/equal scaling and reflection. They are not invariant to rotation. To make them invariant to rotation, moments are calculated with respect to the principal axis of the image. To perform this, the exact angle of rotation must be known. But the method of using the second-order moments to determine this angle will also be inclusive of an undesired tilt angle. Therefore, in order to correctly determine the amount of rotation, the tilt angle which differs for different scaling factors in the x- and y-axis directions for the particular image must be obtained. In order to solve this problem, a neural network using the back-propagation learning algorithm is trained to estimate the tilt angle of the image and from this the amount of rotation for the image can be determined. Next, the new moments are derived and a Fuzzy ARTMAP network is used to classify these images into their respective classes. Sets of experiments involving images rotated and scaled unequally in the x- and y-axis directions are carried out to demonstrate the validity of the proposed technique.     

基于图像识别的微型倾斜传感器

通过人眼观察进行识读的传统水准器式倾斜仪表，直观但精度不高、灵活性不强。通过引入CCD图像传感器采集水准器中气泡图像并结合图像识别算法分析计算气泡图形边缘，研究开发了具备倾斜角度数值输出能力的新型倾斜传感器。并进一步通过采用DSP处理器并应用嵌入式设计方法，设计了该类型倾斜传感器的小型化原型，从而显著地提高了测量精度和应用的灵活性．克服了传统仪表的不足。     

Improved estimation of defocus blur and spatial shifts in spatial domain: a homotopy-based approach

This paper presents a homotopy-based algorithm for the recovery of depth cues in the spatial domain. The algorithm specifically deals with defocus blur and spatial shifts, that is 2D motion, stereo disparities and/or zooming disparities. These cues are estimated from two images of the same scene acquired by a camera evolving in time and/or space. We show that they can be simultaneously computed by resolving a system of equations using a homotopy method. The proposed algorithm is tested using synthetic and real images. The results confirm that the use of a homotopy method leads to a dense and accurate estimation of depth cues. This approach has been integrated into an application for relief estimation from remotely sensed images.